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Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python

Key Features

  • Enter the world of artificial intelligence using the power of Python
  • An example-rich guide to master various RL and DRL algorithms
  • Explore...
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Here we have a comprehensive, problem-oriented, engineering perspective on the uses of neural nets, fuzzy systems, and hybrids that emphasizes practical solutions to everyday artificial intelligence (AI) problems over abstract theoretical noodling. Intended for upper-division students and postgraduates who need a...
Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes
Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes

Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges.

You’ll discover the...

Google Cloud Platform for Architects: Design and manage powerful cloud solutions
Google Cloud Platform for Architects: Design and manage powerful cloud solutions

Get started with GCP and manage robust, highly available, and dynamic solutions to drive business objectives

Key Features

  • Identify the strengths, weaknesses and ideal use cases for individual services offered on the Google Cloud Platform (GCP)
  • Make intelligent choices...
Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances
Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances

Create AI applications in Python and lay the foundations for your career in data science

Key Features

  • Practical examples that explain key machine learning algorithms
  • Explore neural networks in detail with interesting examples
  • Master core AI concepts with...
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.

Key Features

  • Explore deep reinforcement learning (RL), from the first principles to the latest algorithms
  • Evaluate high-profile RL methods, including value...
Big Data Analytics with R and Hadoop
Big Data Analytics with R and Hadoop

If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential.

Overview

  • Write Hadoop MapReduce within R
  • Learn...
Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm (Intelligent Systems Reference Library)
Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm (Intelligent Systems Reference Library)

This book discusses the evolution of future-generation technologies through the Internet of things, bringing together all the related technologies on a single platform to offer valuable insights for undergraduate and postgraduate students, researchers, academics and industry practitioners.

The book uses data, network...

Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j
Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j

Build, train, and deploy intelligent applications using Java libraries

Key Features

  • Leverage the power of Java libraries to build smart applications
  • Build and train deep learning models for implementing artificial intelligence
  • Learn various algorithms to...
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm...

Developing Intelligent Agent Systems: A Practical Guide (Wiley Series in Agent Technology)
Developing Intelligent Agent Systems: A Practical Guide (Wiley Series in Agent Technology)

Build your own intelligent agent system…

Intelligent agent technology is a tool of modern computer science that can be used to engineer complex computer programmes that behave rationally in dynamic and changing environments. Applications range from small programmes that intelligently search the Web buying and selling...

The 5 Keys to Value Investing
The 5 Keys to Value Investing

The investing style that made Warren Buffett the world's wealthiest investor!

Strategies for Identifying Today's Best-Run Corporations--Then Buying Them for Pennies on the Dollar

As an investor, you don't buy stocks; you buy companies. The Five Key Steps to Value Investing shows you how...

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